• 제목/요약/키워드: Opinion Network

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Speech Quality Measure in a Mobile Communication System Using PLP Cepstral Distance with CMS (심리 음향 켑스트럼 평균 차감법을 이용한 이동 전화망에서의 음질 평가)

  • Yun, J.J.;Park, S.W.;Park, Y.C.;Youn, D.H.;Cha, I.H.
    • Speech Sciences
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    • v.6
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    • pp.163-179
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    • 1999
  • For the set up, management and repair of a mobile communication system, continuous estimation of speech quality is required. Speech quality measurement can be conducted by listener's judgement in a subjective test such as MOS (Mean Opinion Score) test. However, this method is laborious, expensive and time-consuming, it is advisable to predict subjective speech quality via objective measures. This paper presents a robust objective speech quality measure, PLP-CMS (Perceptual Linear Predictive-Cepstral Mean Subtraction), which can predict subjective speech quality in mobile communication systems. PLP-CMS has a high correlation with subjective quality owing to PLP (Perceptual Linear Predictive) analysis and shows a robust performance not being influenced by PSTN (Public Switched Telephone Network) channel effects due to CMS (Cepstral Mean Subtraction). To prove the performance of our proposed algorithm, we carried out subjective and objective quality estimation on speech samples which are variously distorted in a real mobile communication system. As a result, we demonstrated that PLP-CMS has a higher correlation with subjective quality than PSQM (Perceptual Speech Quality Measure) and PLP-CD (Perceptual Linear Predictive-Cepstral Distance).

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Technological Assesment on Public R&D Activities (정보통신 공공 R&D 기술성 평가)

  • 여인갑
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2002.11a
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    • pp.433-439
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    • 2002
  • In this paper, we implemented technology assessment on the public R'||'&'||'amp;D activities in If field in order to select the promising technologies, so called 'star technology,' making for national industry development. Technology assessment frame in this study included qualitative factors. If technologies are classified five sector - network, wireless/broadcasting, SW/application, computer/terminal equipment,somiconductorjcomponent. Expert opinion interviews on each field are carried out. Assessment factors consist of technology usefulness and technology competitiveness. In the final analysis, 23 technology items selected as a promising technologies and the results can be used public R'||'&'||'amp;D planning and IT industry policy

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Performance Evaluation of IDS on MANET under Grayhole Attack (그레이홀 공격이 있는 MANET에서 IDS 성능 분석)

  • Kim, Young-Dong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.11
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    • pp.1077-1082
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    • 2016
  • IDS can be used as a countermeasure for malicious attacks which cause degrade of network transmission performance by disturbing of MANET routing function. In this paper, effects of IDS for transmission performance on MANET under grayhole attacks which has intrusion objects for a part of transmissions packets, some suggestion for effective IDS will be considered. Computer simulation based on NS-2 is used for performance analysis, performance is measured with VoIP(: Voice over Internet Protocol) as an application service. MOS(: Mean Opinion Score), CCR(: Call Connection Rate) and end-to-end delay is used for performance parameter as standard transmission quality factor for voice transmission.

A review of big data analytics and healthcare (빅데이터 분석과 헬스케어에 대한 동향)

  • Moon, Seok-Jae;Lee, Namju
    • Journal of the Korean Applied Science and Technology
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    • v.37 no.1
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    • pp.76-82
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    • 2020
  • Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

Ultrastructural Study of Drosophila Ocellar Visual System by Osmium Impregnation (오스뮴침착법에 의한 초파리 단안시각계의 미세구조)

  • Yoon, Chun-Sik
    • Applied Microscopy
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    • v.29 no.4
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    • pp.451-457
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    • 1999
  • Ultrastructure of adult Drosophila ocellus was compared with conventional electron microscopic method and osmium impregnation. When osmium impregnation was applied, some organelles of cells were strongly stained. Especially, subrhabdomeric cisternae (SRC) were strongly stained and showed network-iike structure as in compound eye. Other organelles including SSC, ER, nuclear envelope, pigment granules and mitochondria were also strongly stained. These organelles are known as a general calcium ion reservoir. In conclusion, the strong effect of light and shade by osmium impregnation was regarded as a result of strong binding between calcium ion and osmium tetroxide. Thus, we agree to the opinion that osmium impregnation is very useful methods to the comparative morphology of cell organelles.

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A Study on the Evaluation Consulting Methodology of Important Information Communication Base Facility (주요 정보통신기반시설의 평가컨설팅 방법론에 대한 연구)

  • Lee, Young-Ro;Cho, Jae-Wan
    • Journal of Digital Convergence
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    • v.5 no.1
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    • pp.55-68
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    • 2007
  • It soaks but 2001 July information communication base step law enforcement and the Enforcement Ordinance are published to follow, in order to support the establishment of evaluation and protective measure in order the vulnerability analysis against the facility of the agency which manages an important information communication base hour opinion to designate information protection specialty enterprise. As information protection specialty enterprise being revealed evacuation laboratory back 12 enterprises from information communication department become designation as the consulting enterprise and they do an enterprise activity actively. It follows in diffusion of the IT and information reconciliation level the other side where our country belongs in the world-wide first group, the research against the disfunction plan of preparation comparison the fact that law it is come negligently all actuality. The network as it will give management coat fatal effect even at obstacle occurrence hour of instant for of case and IT facility of the cyber transactions which leads, in the future there to be to corporate management, there is a possibility the stable civil official of information Facilities for communications very seeing in the portion which is important. Present condition and important propulsion contents of information communication base step law enforcement after, against a vulnerability analysis of information protection relation field and evaluation consulting methodological application situation to sleep it researches from the dissertation which it sees consequently and it does.

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A Proposal of Distribution Method for Inter-Regional Sewage Treatement Zone Using GIS and Gravity Model (GIS와 중력모형을 이용한 광역 하수처리권역 설정)

  • 하성룡;박대희
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 1998.11a
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    • pp.20-25
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    • 1998
  • In order to support effective decision-making related to inter-sewage planning, this study proposes the spatial distribution method of inter-sewage treatement area using spatial analysis of GIS, Communication system of database, spatial interaction of Gravity model. Evalution Indexs are consist of economic, social/political and environmental condition value which are explained by the analysis of AHP algorithm ,based on opinion of related experts. Network module in Arc/Info is applied in order to find out minimum pipeline root in Miho river watershed, one of the sub-basin of Geum river basin. This value also is utilized for the construction of cost decay function in gravity model.

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Sentiment Analysis of User-Generated Content on Drug Review Websites

  • Na, Jin-Cheon;Kyaing, Wai Yan Min
    • Journal of Information Science Theory and Practice
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    • v.3 no.1
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    • pp.6-23
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    • 2015
  • This study develops an effective method for sentiment analysis of user-generated content on drug review websites, which has not been investigated extensively compared to other general domains, such as product reviews. A clause-level sentiment analysis algorithm is developed since each sentence can contain multiple clauses discussing multiple aspects of a drug. The method adopts a pure linguistic approach of computing the sentiment orientation (positive, negative, or neutral) of a clause from the prior sentiment scores assigned to words, taking into consideration the grammatical relations and semantic annotation (such as disorder terms) of words in the clause. Experiment results with 2,700 clauses show the effectiveness of the proposed approach, and it performed significantly better than the baseline approaches using a machine learning approach. Various challenging issues were identified and discussed through error analysis. The application of the proposed sentiment analysis approach will be useful not only for patients, but also for drug makers and clinicians to obtain valuable summaries of public opinion. Since sentiment analysis is domain specific, domain knowledge in drug reviews is incorporated into the sentiment analysis algorithm to provide more accurate analysis. In particular, MetaMap is used to map various health and medical terms (such as disease and drug names) to semantic types in the Unified Medical Language System (UMLS) Semantic Network.

Positive or negative? Public perceptions of nuclear energy in South Korea: Evidence from Big Data

  • Park, Eunil
    • Nuclear Engineering and Technology
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    • v.51 no.2
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    • pp.626-630
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    • 2019
  • After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilities are considered to be one of the essential factors in the national energy and electricity policy-making process of several nations that employ nuclear energy as their key energy resource. However, it is difficult to explore and capture such an attitude, because the majority of prior studies analyzed public attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplement this point, this study suggests a big data analyzing method with K-LIWC (Korean-Linguistic Inquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes, positive and negative emotional statements about nuclear energy with the collected data sets of well-known social media and network services in Korea over time. Results show that several events and accidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of the statements, depending on the kind of events and accidents. The presented methodology and the use of big data in relation to the energy industry is suggested as it can be helpful in addressing and exploring public attitudes. Based on the results, implications, limitations, and future research areas are presented.

In My Opinion: Modality in Japanese EFL Learners' Argumentative Essays

  • Pemberton, Christine
    • Asia Pacific Journal of Corpus Research
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    • v.1 no.2
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    • pp.57-72
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    • 2020
  • This study seeks to add to the current understanding of learners' use of modality in argumentative writing. A learner corpus of argumentative essays on four topics was created and compared to native English speaker data from the International Corpus Network of Asian Learners of English (ICNALE). The relationship between learners' use of modal devices (MDs) and the devices' appearance in the school's curriculum was also examined. The results showed that learners relied on a very narrow range of MDs compared to those in previous studies. The frequency of use of MDs varied based on the topic and did not seem to be driven by cultural factors as has been previously suggested. Learners used more hedges than boosters on all topics, contradicting most previous studies. Curriculum was determined to have a direct correlation with MD use, and other important factors may include perception of topic and overreliance on certain MDs over others (the One-to-One principal). This research implies that learners' perception of topic should be explored further as a variable affecting MD use. Curricula should be designed based on frequency of MD use by English native speakers, and learners should receive instruction that teaches the norms of MD use in academic writing. The methodology used in the study to determine correlations between MD use and the curriculum has a wide range of potential applications in the field of Contrastive Interlanguage Analysis.